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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery
L. G. Divyanth, Aanis Ahmad, Dharmendra Saraswat
Smart Agricultural Technology (2022) Vol. 3, pp. 100108-100108
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model
İshak Paçal
Expert Systems with Applications (2023) Vol. 238, pp. 122099-122099
Closed Access | Times Cited: 47
A corn canopy organs detection method based on improved DBi-YOLOv8 network
Haiou Guan, Haotian Deng, Xiaodan Ma, et al.
European Journal of Agronomy (2024) Vol. 154, pp. 127076-127076
Closed Access | Times Cited: 20
Enhanced corn seed disease classification: leveraging MobileNetV2 with feature augmentation and transfer learning
Mohannad Alkanan, Yonis Gulzar
Frontiers in Applied Mathematics and Statistics (2024) Vol. 9
Open Access | Times Cited: 19
Tomato leaf disease identification via two–stage transfer learning approach
Theodora Sanida, Argyrios Sideris, Maria Vasiliki Sanida, et al.
Smart Agricultural Technology (2023) Vol. 5, pp. 100275-100275
Open Access | Times Cited: 38
MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases
Momina Masood, Marriam Nawaz, Tahira Nazir, et al.
IEEE Access (2023) Vol. 11, pp. 52862-52876
Open Access | Times Cited: 33
Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications
L. G. Divyanth, D. S. Guru, P. Soni, et al.
Algorithms (2022) Vol. 15, Iss. 11, pp. 401-401
Open Access | Times Cited: 33
An improved deep learning approach for localization and recognition of plant leaf diseases
Yahya Alqahtani, Marriam Nawaz, Tahira Nazir, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120717-120717
Closed Access | Times Cited: 20
Cascading Autoencoder With Attention Residual U-Net for Multi-Class Plant Leaf Disease Segmentation and Classification
S. Abinaya, K. Kumar, A. Sherly Alphonse
IEEE Access (2023) Vol. 11, pp. 98153-98170
Open Access | Times Cited: 20
Image‐based detection and classification of plant diseases using deep learning: State‐of‐the‐art review
Manju Bagga, Sonali Goyal
Urban Agriculture & Regional Food Systems (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 6
StripeRust-Pocket: A Mobile-Based Deep Learning Application for Efficient Disease Severity Assessment of Wheat Stripe Rust
Weizhen Liu, Yuxi Chen, Zhaoxin Lu, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 5
Two-Stage Detection Algorithm for Plum Leaf Disease and Severity Assessment Based on Deep Learning
Caihua Yao, Ziqi Yang, Peifeng Li, et al.
Agronomy (2024) Vol. 14, Iss. 7, pp. 1589-1589
Open Access | Times Cited: 5
Nutrient Stress Symptom Detection in Cucumber Seedlings Using Segmented Regression and a Mask Region-Based Convolutional Neural Network Model
Sumaiya Islam, Md Nasim Reza, Shahriar Ahmed, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1390-1390
Open Access | Times Cited: 5
Grading of wheat powdery mildew based on pixel point
Hecang Zang, Cong Wang, Qing Zhao, et al.
(2025), pp. 23-23
Closed Access
OPTIMUM RBM ENCODED SVM MODEL WITH ENSEMBLE FEATURE EXTRACTOR-BASED PLANT DISEASE PREDICTION
Piyush Sharma, Devi Prasad Sharma, Sulabh Bansal
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105319-105319
Closed Access
Crop Disease Detection by Deep Joint Segmentation and Hybrid Classification Model: A CAD‐Based Agriculture Development System
Raju Bhukya, Vuppu Shankar, A Venkata Harshvardhan, et al.
Journal of Phytopathology (2025) Vol. 173, Iss. 1
Closed Access
Attention-Enhanced Corn Disease Diagnosis Using Few-Shot Learning and VGG16
Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, et al.
MethodsX (2025) Vol. 14, pp. 103172-103172
Open Access
A Comparison of Different Deep Learning Models for Plant Leaf Disease Detection
P. Maragathavalli, S. Jana
Communications in computer and information science (2025), pp. 81-92
Closed Access
Disease Infection Classification in Coconut Tree Based on an Enhanced Visual Geometry Group Model
Xiaocun Huang, Mustafa Muwafak Alobaedy, Yousef Fazea, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 689-689
Open Access
Semantic Segmentation of Plant Structures with Deep Learning and Channel-wise Attention Mechanism
Mukund Kumar Surehli, Naveen Aggarwal, Garima Joshi, et al.
Journal of Telecommunications and Information Technology (2025), pp. 56-66
Open Access
EMSAM: enhanced multi-scale segment anything model for leaf disease segmentation
Junlong Li, Quan Feng, Jianhua Zhang, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
A Comparative Study of the Deep Learning Based Image Segmentation Techniques for Fruit Disease Detection
Manju Bagga, Sonali Goyal
Reviews in Agricultural Science (2025) Vol. 13, Iss. 1, pp. 81-104
Open Access
FATDNet: A fusion adversarial network for tomato leaf disease segmentation under complex backgrounds
Zaichun Yang, Lixiang Sun, Zhihuan Liu, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110270-110270
Closed Access
Improving Wheat Leaf Disease Image Classification with Point Rend Segmentation Technique
T. Karthikeya Sharma, Ganesh Kumar Sethi
SN Computer Science (2024) Vol. 5, Iss. 2
Closed Access | Times Cited: 4
A systematic review of deep learning techniques for plant diseases
İshak Paçal, İsmail Kunduracıoğlu, Mehmet Hakkı Alma, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 4
An Intelligent Leaf Disease Prediction for Corn and Maize Using Convolutional Neural Network
A. Arulmurugan, Ajanthaa Lakkshmanan, R. Kaviarasan, et al.
Advances in chemical and materials engineering book series (2025), pp. 265-292
Closed Access
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